Literature DB >> 16538041

In vivo hepatotoxicity study of rats in comparison with in vitro hepatotoxicity screening system.

Rie Kikkawa1, Masaaki Fujikawa, Toshinori Yamamoto, Yoshimasa Hamada, Hiroshi Yamada, Ikuo Horii.   

Abstract

For the establishment of a high throughput screening system using primary cell cultures, investigation of elucidated toxicities to assess the correlation between in vitro and in vivo hepatotoxicity is necessary in the safety evaluation of the compound. In the previous study, we reported the usability of rat primary cultured hepatocytes for establishment of high throughput screening system. To confirm the reliability of rat primary hepatocytes culture screening system, we conducted a single-dose in vivo study with relatively high dose of hepatotoxicant in rats using 4 reference compounds (acetaminophen, amiodarone, tetracycline, carbon tetrachloride), and investigated histopathological changes and expression of oxidative stress-related proteins by immunohistochemistry. We also carried out a proteomics analysis for estimating the reliable and sensitive biomarkers. Histopathologically, compound-specific hepatotoxicity was detected at 24 hr after administration in all compounds except amiodarone, which is known to induce phospholipidosis. Immunohistochemically, oxidative stress-related proteins were increased within 6 hr after administration in all treated groups. Proteomics analysis revealed several protein biomarkers related to oxidative stress and mitochondrial metabolism-regulation, which had been previously detected by proteomics analysis in in vitro screening system. Oxidative stress-related proteins were considered as useful biomarkers of hepatotoxicity; since they were detected by immunohistochemistry and proteomics analysis prior to appearance of compound-specific histopathological changes detected by light microscopy. Considering the relevance of in vitro system to in vivo system from the aspect of new biomarkers related to the toxicogenomics/toxicoproteomics, in vitro primary cell culture system would be sufficient to detect hepatotoxicity in the early stage of drug discovery.

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Year:  2006        PMID: 16538041     DOI: 10.2131/jts.31.23

Source DB:  PubMed          Journal:  J Toxicol Sci        ISSN: 0388-1350            Impact factor:   2.196


  9 in total

1.  Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury.

Authors:  Yuan Gao; Zhijun Cao; Xi Yang; Mohamed A Abdelmegeed; Jinchun Sun; Si Chen; Richard D Beger; Kelly Davis; William F Salminen; Byoung-Joon Song; Donna L Mendrick; Li-Rong Yu
Journal:  Proteomics Clin Appl       Date:  2016-10-28       Impact factor: 3.494

2.  Mechanistic identification of biofluid metabolite changes as markers of acetaminophen-induced liver toxicity in rats.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Kristopher D Rawls; Shanea K Estes; Tracy P O'Brien; Richard L Printz; Jason A Papin; Jaques Reifman; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Appl Pharmacol       Date:  2019-04-08       Impact factor: 4.219

3.  Therapeutic effect comparison of hepatocyte-like cells and bone marrow mesenchymal stem cells in acute liver failure of rats.

Authors:  Dongliang Li; Jingjing Fan; Xiuhua He; Xia Zhang; Zhiqiang Zhang; Zhiyu Zeng; Mei Ruan; Lirong Cai
Journal:  Int J Clin Exp Pathol       Date:  2015-01-01

4.  Assessment of compound hepatotoxicity using human plateable cryopreserved hepatocytes in a 1536-well-plate format.

Authors:  Timothy A Moeller; Sunita J Shukla; Menghang Xia
Journal:  Assay Drug Dev Technol       Date:  2011-11-04       Impact factor: 1.738

5.  Toxicogenomic biomarkers for liver toxicity.

Authors:  Naoki Kiyosawa; Yosuke Ando; Sunao Manabe; Takashi Yamoto
Journal:  J Toxicol Pathol       Date:  2009-04-06       Impact factor: 1.628

6.  Antioxidant activity of extract and its major constituents from okra seed on rat hepatocytes injured by carbon tetrachloride.

Authors:  Lianmei Hu; Wenlan Yu; Ying Li; Nagendra Prasad; Zhaoxin Tang
Journal:  Biomed Res Int       Date:  2014-02-27       Impact factor: 3.411

Review 7.  TAMH: A Useful In Vitro Model for Assessing Hepatotoxic Mechanisms.

Authors:  Madison Davis; Brendan D Stamper
Journal:  Biomed Res Int       Date:  2016-12-15       Impact factor: 3.411

8.  Use of 3D Human Liver Organoids to Predict Drug-Induced Phospholipidosis.

Authors:  Ji-Young Lee; Hyo-Jeong Han; Sang-Joon Lee; Eun-Ho Cho; Han-Byul Lee; Ju-Hyung Seok; Hee Seon Lim; Woo-Chan Son
Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

9.  A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model.

Authors:  Richard Judson; Fathi Elloumi; R Woodrow Setzer; Zhen Li; Imran Shah
Journal:  BMC Bioinformatics       Date:  2008-05-19       Impact factor: 3.169

  9 in total

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